Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer-Reference-Cited by-同舟云学术

Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer

Published:2018-01 Issue:1 Volume:37 Page:35-46
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Yin Yi^ORCID,Sedlaczek Oliver,Muller Benedikt,Warth Arne,Gonzalez-Vallinas Margarita,Lahrmann Bernd,Grabe Niels,Kauczor Hans-Ulrich,Breuhahn Kai,Vignon-Clementel Irene E.,Drasdo Dirk

Funder

BMBF-Projects Cancer-Sys/LungSys through the German Federal Ministry of Education and Research

EU-NOTOX

ANR-INVADE

Alfonso Martin Escudero Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/8241789/07913723.pdf?arnumber=7913723

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Pilot Study: Deep Multi-Instance Learning for Origin Tracing of Brain Metastases;2024-03-27

2. Microvascular Modeling for Medical Imaging and Toxicity Assessment;SEMA SIMAI Springer Series;2024

3. Advanced Diffusion‐Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology;Journal of Magnetic Resonance Imaging;2023-11-30

4. Imaging-based characterization of tumoral heterogeneity for personalized cancer treatment;RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren;2023-11-09

5. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training;Medical Image Analysis;2023-10